EA013660B1 - Well planning system and method - Google Patents

Abstract

A method for performing oilfield operations for an oilfield having a subterranean formation with an underground reservoir therein, the oilfield being provided with at least one wellsite with oilfield equipment for extracting fluid from the underground reservoir, involving collecting data comprising trajectory and earth properties associated with a planned well for a geoscience application to obtain a geoscience model, invoking a well planning system integrated with the geoscience application, extracting the trajectory and earth properties from the geoscience model to obtain an extracted trajectory and extracted earth properties, determining at least one parameter for the planned well based on the extracted trajectory and the extracted earth properties,; and displaying the at least one parameter associated with the planned well within a geological context of the geoscience application to allow refinement of the planned well for efficient fluid extraction from the underground reservoir.

Description

BACKGROUND OF THE INVENTION

Oilfield operations, such as exploration, drilling, cable exploration, completion and operation, are typically carried out to determine the position and selection of valuable downhole fluids.

According to FIG. 1A, exploration is often performed using data acquisition tools, such as seismic scanners, to create maps of geological structures. These structures are often analyzed to determine the presence of minerals, such as valuable fluids or minerals. This information is used to evaluate geological structures and determine the position of formations containing the desired minerals. Data collected from data collection tools can be evaluated and analyzed to determine the presence of valuable materials and their accessibility.

According to FIG. 1B-1E, one or more drilling sites may be located along geological structures to select valuable fluids from reservoirs. Drilling sites are equipped with tools capable of detecting and recovering hydrocarbons from reservoirs. According to FIG. 1B, drilling tools typically move inland from drilling rigs along a given path to detect valuable downhole fluids. During a drilling operation, a drilling tool may perform downhole measurements to investigate downhole conditions. In a number of cases, as shown in FIG. 1C, the drilling tool is removed and the cable tool is lowered into the wellbore for further research in the well.

Upon completion of the drilling operation, the well can be prepared for operation. According to FIG. 1Ό Well completion equipment is immersed in the well to complete the well in preparation for producing fluid from it. Then the fluid enters from the reservoirs into the wellbore and flows to the surface. Production facilities are located on the surface for the selection of hydrocarbons from drilling sites. The fluid recovered from the manifolds enters the production facilities through transport mechanisms, such as pipes. Various equipment may be located around the oil field to monitor the parameters of the oil field and / or to control oilfield operations.

During oilfield operations, data is usually collected for analysis and / or monitoring of oilfield operations. Such data may include, for example, data on the geological formation, equipment, historical and / or other data. Data related to the geological formation are collected using various sources. Such formation data may be static or dynamic. Static data refers to the structure of the formation and geological stratigraphy, which determines the geological structure of the geological formation. Dynamic data refers to fluids flowing through geological structures of a geological formation. Such static and / or dynamic data can be collected for additional study of the strata and the minerals contained therein.

The sources used to collect static data can be seismic instruments, for example a self-propelled seismic station, which sends compression waves to the ground, as shown in FIG. 1A. These waves are measured to determine changes in the density of the geological structure at different depths. This information can be used to create basic structural maps of the geological formation. Other static measurements can be made using core sampling and well logging methods. Core samples are used to take physical samples of the formation at various depths, as shown in FIG. 1B. Well logging involves immersion of a downhole tool in a wellbore to collect various downhole measurements, such as density, resistivity, etc., at various depths. Such well logging can be carried out using, for example, the drilling tool shown in FIG. 1B and / or the cable tool shown in FIG. 1C. After formation and completion of the well, fluid flows to the surface using a production tubing string, as shown in FIG. 1Ό. As the fluid advances to the surface, various dynamic measurements can be monitored, such as flow rate, pressure, and fluid composition. These parameters can be used to determine various characteristics of the geological formation.

Sensors can be located throughout the oil field to collect data related to various oilfield operations. For example, sensors in a wellbore can track fluid composition, sensors along a flow path can track costs, and sensors in a processing plant can track collected fluids. Other sensors may be provided to monitor conditions in the well, on the surface, on equipment, or other conditions. Tracked data is often used to make decisions in different places of an oil field at different times. The data collected by these sensors can be further analyzed and processed. Data can be collected and used for current or future operations. When used for future operations in the same place or in other places, such data can sometimes be called historical data.

Processed data can be used to predict well conditions and make

- 1 013660 decisions relating to oilfield operations. Such decisions may include well planning, well targeting, well completions, operating levels, production rates, and other configurations. Often this information is used to determine where to drill new wells, re-terminate existing wells or change well production rates.

Data from one or more wellbores can be analyzed to plan or predict various outcomes on a given wellbore. In some cases, data from neighboring wellbores or wellbores with similar conditions or equipment are used to predict well returns. Typically, to analyze well operations, a large number of variables and large amounts of data have to be considered. Therefore, it is often useful to model the behavior of an oilfield operation to determine the desired course of action. During the current operation, it is sometimes necessary to adjust the operating conditions as the conditions change and new information is received.

Methods have been developed to model the behavior of geological structures, reservoirs, boreholes, ground equipment, as well as other areas of the oilfield operation. Examples of modeling methods are presented in patent / application / publication No. I85992519, No. 02004049216, No. 01999/064896, I86313837, I82003 / 0216897, I82003 / 0132934, I82005 / 0149307, I82006 / 0197759. Usually, existing modeling methods were used to analyze only specific areas of an oilfield operation. In recent years, attempts have been made to use more than one model for the analysis of certain oilfield operations, see, for example, patents / applications / publications No. I86980940, No. 004049216, I82004 / 0220846, I810 / 586283.

Methods have also been developed for predicting and / or planning certain oilfield operations, such as drilling operations. Examples of methods for creating drilling plans are given in patent / application / publication No. I8 / 2005/0236184, I8 / 2005/0211468, I8 / 2005/0228905, I8 / 2005/0209886, and 8/2005/0209836. Some drilling methods include managing a drilling operation. Examples of such drilling methods are presented in British Patents Nos. CB2392931. 2411669. Other drilling methods include real-time drilling operations. Examples of methods aimed at providing real-time drilling are described in patent / application No. I87079952, I86266619, I85899958, I85139094, I87003439 and I85680906.

Oilfield data can also be used to minimize the costs and risks associated with oilfield operations. To minimize the cost of the wellbore and associated risks, methods for planning the construction of the wellbore are required that take into account the relationships that occur when designing the wellbore. An internal difficulty is that most design processes and systems are independent tools used for individual tasks in the various disciplines involved in the planning process. In an environment where more and more different wells of higher value are being drilled at lower cost, more than ever before, a tool is needed for quick well planning, cost and risk assessment.

Currently, there are software systems representing an automated process designed to combine the sequence of operations for planning the construction of a wellbore and taking into account the interconnections of processes. An automated process is based on a drilling model, and the process is a highly interactive process that is performed in a software system, which allows you to closely connect the particles of the well structure with geological and geomechanical models, allows object groups to plan realistic well trajectories by automatically generating cost estimates by risk assessment, which , in turn, allows quick selection and economic evaluation of projects, allows object groups to quantify the value of additional information by providing insights into the impact of project uncertainties on the business, reducing the time it takes for drilling engineers to evaluate risks and creating probabilistic time and cost estimates that are appropriate for the designed well design, and allowing drilling engineers to immediately assess the business impact and risks of using new technologies, new procedures or other approaches to well design. A discussion of these points demonstrates the application of the workflow and certifies the value, speed, and accuracy of this integrated well planning and decision support tool.

Identifying the risks associated with drilling a well is currently probably the most subjective process in planning a well. It is based on how a person understands part of the construction of a technical well that is not related to the properties of the geological environment or mechanical equipment used to drill the well. Identification of any risks is carried out by combining all the information about the well, geological conditions and equipment in the human mind and mental filtering of all information, displaying the relationships and determining, solely on the basis of personal experience, which parts of the project constitute potential risks for the overall success of this project. It is extremely sensitive to the systematic error introduced by man, the human ability to remember and combine all the data in the mind and experience of a person who

- 2013660 allows you to recognize the conditions that cause each drilling risk. Most people are unable to do this, and those who are capable are very inconsistent if they do not follow the exact process and checklist. Currently, there are some software systems for determining the risks of drilling, but to determine and evaluate the probability of each individual risk and its consequences, the same process is required by a person. These systems are simply a computer system for manually recording the results of a risk identification process.

Conventional automatic well planning software systems may include a risk assessment component. This component automatically evaluates the risks associated with decisions regarding the design of a technical well due to the geological and geomechanical properties of the earth and due to the mechanical limitations of the equipment prescribed or recommended for use.

Once users have identified and recognized the drilling risks for drilling a given well, there are no prescribed standard visualization methods to add value to risk information already created. There are some methods for determining the position of an individual risk event at a specified measured depth or in an interval of depths using some type of symbol or figure and a combination of patterns in three-dimensional space.

SUMMARY OF THE INVENTION

According to the invention, a method for performing oilfield operations for an oil field having a geological formation containing a reservoir and provided with at least one drilling platform with oilfield equipment for extracting fluid from the reservoir, comprising the following steps:

collection of data containing the trajectory of the project well and the properties of the geological environment for geological and geophysical modeling to obtain a geological and geophysical model;

application of a well planning system combined with geological and geophysical modeling;

obtaining the trajectory of the project well and the properties of the geological environment from the geological and geophysical model;

determination of risk information for the project well based on the obtained trajectory and properties of the geological environment;

plotting risk information as a function of the depth of the project well along its obtained trajectory;

displaying risk information associated with the project well in the geological context of geological and geophysical modeling to improve the design well for efficient production of fluid from the underground reservoir, the geological context containing at least the obtained trajectory of the design well and the obtained properties of the geological environment.

The method may further comprise determining and displaying the time required to complete the project well and the cost of the project well.

The method may further comprise the step of calculating the wellbore geometry and drilling parameters for the design well based on the obtained trajectory of the design well and properties of the geological environment.

The time required to complete the project well and the cost of the project well may include a probabilistic distribution of the time of completion and the cost of the project well.

Risk information may contain at least one ordered risk category and at least one ordered risk subcategory. The risk category may contain at least one selected from the group consisting of average individual risk, subcategory risk, average subcategory risk, total risk, average total risk, potential risk for each design task and actual risk for each design task. The risk subcategory may contain at least one selected from the group consisting of the risk of loss of income, risk of loss, risk of stuck pipe and mechanical risk.

The properties of the geological environment may contain at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient, and rock strength for unlimited compression.

Risk information may be displayed in a geological context in the form of at least one selected from the group consisting of three-dimensional and four-dimensional information.

The method may further comprise the step of selecting a set of risk assessment tasks associated with the trajectory of the project well and the properties of the geological environment.

The set of risk assessment tasks can be organized as a sequence of system operations, and the output of each of the set of risk management tasks is used as an input to the next risk management task.

The totality of risk assessment tasks can be used to perform fig.

- 3 013660 Cove.

The trajectory of the project well and the properties of the geological environment can be represented in three dimensions.

The invention provides a graphical user interface associated with geological and geophysical modeling for performing oilfield operations for an oil field having a geological formation containing a reservoir and provided with at least one drilling platform with oilfield equipment for extracting fluid from a reservoir containing a task manager capable of display a set of risk assessment tasks for selection, each of which is associated with the trajectory and properties of the geological environment used to calculate risk information, and a toolbar capable of displaying a well planning system for selection, combined with geological and geophysical modeling after selection, while the graphical user interface is able to display risk information as a function of the depth of the project well along its obtained trajectory in the geological context of the geological -geophysical modeling to improve the design well for efficient production of fluid from the reservoir, while geological th context contains, at least, the resulting trajectory of the well design, and the resulting properties of the geological environment.

The graphic can display the time required to complete the project well and the cost of the project well.

A graphical interface may further display wellbore geometry and drilling parameters associated with the design well.

When choosing a well planning system, a configuration dialog may be displayed that is capable of accepting the project well trajectory and the geological environment properties entered by the user.

The properties of the geological environment may contain at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient and unlimited compressive strength of the rock.

The set of risk management tasks can be organized as a sequence of operations of the system, and the output of each of the set of risk management tasks is used as an input to the next risk management task.

Risk information may be displayed on a graph along the path of the project well in at least one selected from the group consisting of a three-dimensional graphic display and a four-dimensional graphic display.

The trajectory of the project well and the properties of the geological environment can be represented in three dimensions.

According to the invention, a well planning system is created for oilfield operations for an oil field having a geological formation containing a reservoir and provided with at least one drilling platform with oilfield equipment for extracting fluid from the reservoir, containing an input device capable of obtaining the project well trajectory and properties the geological environment from the geological and geophysical model in geological and geophysical modeling, a computing device capable of calculate the wellbore geometry, drilling parameters and risk information associated with the project well using the trajectory of the project well and the properties of the geological environment, and a display device capable of displaying risk information as a function of the depth of the project well along its path in the geological context of geological and geophysical modeling to improve the design well for efficiently extracting fluid from the reservoir, the geological context containing at least the trajectory of the project well and the obtained properties of the geological environment, moreover, well planning is combined with geological and geophysical modeling.

The computing device can additionally calculate the time required to complete the project well and the cost of the project well. The indicated time and cost contain the probabilistic distribution of the indicated time and cost.

Risk information may contain at least one ordered risk category and at least one ordered risk subcategory.

The risk category may contain at least one selected from the group consisting of average individual risk, subcategory risk, average subcategory risk, total risk, average total risk, potential risk for each design task and actual risk for each design task.

The risk subcategory may contain at least one selected from the group consisting of the risk of loss of income, risk of loss, risk of stuck pipe and mechanical risk.

The properties of the geological environment associated with the trajectory of the project well may contain at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient, and unlimited rock compressive strength.

Risk information may be displayed in a geological context in the form of at least one,

- 4 013660 selected from the group consisting of three-dimensional and four-dimensional information.

The trajectory of the project well and the properties of the geological environment can be represented in three dimensions.

The invention has also provided a computer storage medium for performing oilfield operations for an oil field having a geological formation containing a reservoir and provided with at least one drilling platform with oilfield equipment for extracting fluid from a reservoir in which a computer-readable medium is implemented on a computer storage medium program code that instructs a computer system to collect data containing the project well trajectory and geological properties are suitable for geological and geophysical modeling to obtain a geological and geophysical model, apply a well planning system combined with geological and geophysical modeling, obtain the project well trajectory and properties of the geological environment from the geological and geophysical model, determine risk information based on the obtained well trajectory and properties of the geological environment, build a graph of risk information as a function of the depth of the project well along its received trajectory, display risk information associated with oektnoy borehole in a geologic context of geological and geophysical modeling to improve the design of the well for efficient fluid production from an underground reservoir, wherein the geologic context comprises at least the resulting trajectory of the well design, and the resulting properties of the geological environment.

Computer-readable program code may further require the computer system to display the time required to complete the project well and the cost of the project well.

According to the invention, a method for conceptual well planning has been created, comprising the following steps:

application of a risk plugin combined with geological and geophysical modeling;

introduction of parameters related to well drilling in geological and geophysical modeling;

implementation of a set of risk calculations using parameters to obtain risk information;

displaying the time required to complete the project well, the cost of the project well and risk information as a function of the depth of the project well along its path associated with drilling the well in the geological context of geological and geophysical modeling, while the geological context contains at least the resulting project path wells and obtained properties of the geological environment.

Risk information may contain at least one ordered risk category and at least one ordered risk subcategory.

The risk category may contain one selected from the group consisting of average individual risk, subcategory risk, average subcategory risk, total risk, average total risk, potential risk for each design task and actual risk for each design task.

The risk subcategory may contain at least one selected from the group consisting of income loss risks, loss risks, pipe stuck risks and mechanical risks.

The parameters associated with the drilling of the well may contain at least one selected from the group consisting of the trajectory of the project well and the data of the model of the geological environment.

The display of risk information may comprise plotting risk information along a path associated with drilling a well.

These geological environment models may contain at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient, and rock strength for unlimited compression.

Risk information can be displayed in a geological context in three dimensions.

The method may further comprise the step of selecting a set of risk assessment tasks, each of which is associated with input data.

The set of risk assessment tasks can be organized as a sequence of system operations, and the output of each of the set of risk management tasks is used as an input to the next risk management task.

The set of risk assessment tasks can be used to carry out risk calculations.

The invention provides a graphical user interface associated with a geological application for conceptual well planning, comprising a task manager capable of displaying a set of risk assessment tasks for selection, each of which is associated with input data used to calculate risk information, and a toolbar capable of displaying risk plug-in for choice, combined with geological and geophysical modeling, while the graphical user interface is capable of displaying time, not required for completion of the project well, cost of the project well and risk information as a function of depth

- 5 013660 wells along it in the geological context of geological and geophysical modeling, calculated by the selected risk plug-in, using the selected risk assessment task from the set of risk assessment tasks and input data associated with the selected risk assessment task from the set of risk assessment tasks, while the geological the context contains at least the obtained trajectory of the project well and the obtained properties of the geological environment.

When selecting a risk plug-in, a configuration dialog may be displayed that is capable of accepting well drilling parameters.

Well drilling parameters may include at least one selected from the group consisting of a trajectory and geological environment model data.

These geological environment models may contain at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient and unlimited compressive strength of the rock.

The set of risk management tasks can be organized as a sequence of operations of the system, and the output of each of the set of risk management tasks is used as an input to the next risk management task.

Risk information can be displayed on a graph along the trajectory of the project well on a three-dimensional graphical display.

The invention also created a system for conceptual planning of a well, comprising an input device capable of receiving a set of input data associated with drilling a well and including a set of calculation results of input data, a computing device capable of comparing each calculation result from a set of calculation results of input data with each logical expression from the set of logical expressions, ordering, by means of a logical expression, the result of calculating creating a set of ordered risk values in accordance with them, each of the set of ordered risk values representing the result of calculating the input data ordered by logical expression as high risk, medium risk or low risk, a risk device that can create the time needed to complete the project wells, the cost of the project well and risk information in accordance with a set of ordered risk values and combined with geological and geophysical models and a display device designed to display the completion time of the project well, the cost of the project well and risk information as a function of the depth of the project well along its trajectory in the geological context of geological and geophysical modeling, while the geological context contains at least the obtained trajectory and the obtained geological properties Wednesday.

Risk information may contain at least one ordered risk category and at least one ordered risk subcategory.

An ordered risk category may contain at least one selected from the group consisting of average individual risk, subcategory risk, average subcategory risk, total risk, average total risk, potential risk for each design task and actual risk for each design task.

The risk subcategory may contain at least one selected from the group consisting of income loss risks, loss risks, pipe stuck risks and mechanical risks.

The input data associated with the drilling of a well may contain at least one selected from the group consisting of the trajectory of the project well and data of the model of the geological environment.

The display of risk information may include plotting risk information along the trajectory of the project well.

These geological environment models may contain at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient and unlimited compressive strength of the rock.

Risk information can be displayed in a geological context in three dimensions.

According to the invention, a computer storage medium is created on which a computer-readable program code is implemented that directs the computer system to use a risk plug-in combined with geological and geophysical modeling, enter parameters related to well drilling into geological and geophysical modeling, and carry out a combination of risk calculations using parameters for obtaining risk information and display the time required to complete the project well, the cost of the project well and information risk as a function of the depth of the project well along its path, well, in the geological context of geological and geophysical modeling, while the geological context contains at least the obtained trajectory of the project well and the obtained properties of the geological environment.

Other aspects of the invention follow from the description below and the appended claims.

- 6 013660

Brief Description of the Drawings

FIG. 1Ά-1Ό depict a diagram of an oil field having geological structures containing reservoirs, and various oilfield operations are carried out at the oil field.

FIG. 2Ά-2Ό are graphical representations of the data collected by the tools shown in FIG. 1Ά-Ό, respectively.

FIG. 3 is a schematic view, partially in section, of a drilling operation in an oil field.

FIG. 4 is a logical block diagram of the use of a well planning system combined with a geological and geophysical application.

FIG. 5 is a screenshot of the output of a well planning system in a geological context.

FIG. 6-11 depict examples of displaying risk information in a geological context.

FIG. 12 depicts a computer system.

Detailed description

Specific embodiments of the invention will be described in detail with reference to the accompanying figures. Similar elements in the various figures are denoted by similar positions for consistency.

In the following detailed description of embodiments of the invention, numerous specific details are described to provide a more complete understanding of the invention. By way of example, well-known features are not described in detail in order to avoid obscuring the invention.

In general, embodiments of the present invention relate to combining geological and geophysical modeling software and a well planning system (ATP) for modeling and displaying wellbore geometry, drilling parameters, quantifying risk and time and cost of drilling a well in a geological context.

The present invention provides applications designed for the oil and gas industry. In FIG. 1Ά-1Ό, an illustrative oilfield 100 is shown in which there are underground structures and geological structures. In particular, in FIG. 1Ά-1Ό are schematic views of an oil field 100 having geological structures 102 containing a reservoir 104, and various oilfield operations carried out in the oil field are shown. Different measurements of the geological formation are made by different tools in the same place. These measurements can be used to create information about the reservoir and / or geological structures and / or the fluids contained therein.

In FIG. 1Ά shows an exploration operation carried out by a self-propelled seismic station 106a to measure the properties of the geological formation. An exploration operation is a seismic exploration operation for generating sound vibrations. According to FIG. 1Ά, the acoustic source 110 generates sound vibrations 112 that are reflected from the plurality of horizons 114 in the geological formation 116. Referring to FIG. 1, sound vibrations 112 are sensed by sensors, such as geophones 118 located on the surface of the earth, and geophones 118 generate electrical output signals interpreted as received data 120.

The received sound vibrations 112 represent different parameters (e.g., amplitude and / or frequency). The received data 120 is supplied as input to the computer 122a of the self-propelled seismic station 106a, and, in accordance with the input data, the computer 122a of the self-propelled seismic station generates an output record 124 of seismic data. If desired, seismic data can be further processed, for example, by thinning data.

In FIG. 1B shows a drilling operation carried out by a drilling tool 106b suspended on a drilling rig 128 and immersed in a geological formation 102 to form a borehole 136. A mud reservoir 130 is used to supply drilling fluid to the drilling tool through a pressure pipe 132 to circulate drilling fluid through the drilling tool and back to the surface. The drilling tool advances into the formation until it reaches reservoir 104. The drilling tool is preferably designed to measure formation properties in a well. A logging tool during drilling can also be designed to take a core sample 133, as shown, or can be removed so that the core sample can be taken using another tool.

Ground device 134 is used for communication with a drilling tool and operations outside the well. The ground device is capable of communicating with the boring tool for issuing commands to actuate the boring tool and to obtain data from it. The ground device is preferably equipped with computer equipment for receiving, storing, processing and analyzing data from an oil field. The ground device collects output data 135 obtained during the drilling operation. Computer equipment, for example, installed on a ground-based device, can be located in various places around the oil field and / or in remote locations.

Sensors 8, for example measuring instruments, can be located in the collector, on the drilling rig

- 7 013660 oilfield, oilfield equipment (for example, on a downhole tool) or in other places of the oil field to collect information about various parameters, such as surface parameters, parameters in the well and / or operating conditions. These sensors preferably measure the parameters of the oil field, for example, weight on the bit, torque on the bit, pressure, temperature, flow rates, compositions, measured depth, azimuth, slope and other parameters of the oilfield operation.

The information collected by the sensors can be sent to a ground-based device and / or other sources of data collection for analysis or other processing. Data collected by sensors can be used separately or in conjunction with other data. Data can be collected in a database and this data, in whole or in part, can be selectively used to analyze and / or predict oilfield operations of the current and / or other wellbores.

Data from various sensors located around the oil field can be processed for use. The data may be historical data, operational data, or a combination thereof. Live data can be used in real time or saved for future use. Data can also be combined with historical data or other input data for additional analysis. Data can be accumulated in separate databases or combined in one database.

The collected data can be used to perform analysis, for example, modeling operations. For example, the output seismic data can be used to perform geological, geophysical modeling and / or modeling of reservoir operation. The data of the reservoir, borehole, surface and / or process can be used to simulate the reservoir, borehole, or other production operations. Data from the oilfield operation can be generated directly on the sensors or after some pre-processing or modeling. This output can serve as input for further analysis.

Data is collected and stored on the ground device 134. One or more ground devices can be located in the oil field or can be connected to it remotely. The ground device may be a single unit or a complex network of units used to carry out the necessary data management functions throughout the oil field. The ground device may be a system with manual or automatic control. The ground device can be operated and / or adjusted by the user.

The ground device may be equipped with a transceiver 137, which allows communication between the ground device and various sections of the oil field and / or other places. The ground device can be equipped with or functionally connected to a controller for activating mechanisms in an oil field. Then the ground device can send command signals to the oil field in accordance with the received data. The ground device can receive commands through the transceiver or can itself execute commands for the controller. You can provide a processor for (local or remote) data analysis and decision making on controller activation. Thus, the oil field can be selectively adjusted based on the collected data. These adjustments can be made automatically based on a computer protocol, or manually by an operator. In some cases, well plans and / or well placement can be adjusted to select optimal operating conditions, or to avoid problems.

In FIG. 1C shows a cable operation performed by a cable tool 106c suspended on a rig 128 and immersed in a well bore 136, according to FIG. 1B. The cable tool is preferably intended to be immersed in the wellbore for logging the well, performing downhole testing and / or collecting samples. A cable tool can be used to provide other methods and devices for seismic exploration. The cable tool shown in FIG. 1C, may have an explosive or acoustic energy source 144 that provides electrical signals to surrounding geological formations 102.

A cable tool can be operatively connected, for example, to geophones 118 stored in the computer 122a of the self-propelled seismic station 106a shown in FIG. 1A. The cable tool can also provide data to the ground device 134. It is shown that output data 135 is generated by the cable tool and collected on the surface. The cable tool can be located at various depths in the wellbore to provide exploration of the geological formation.

In FIG. 1Ό shows a production operation carried out by a production tool 1066 submerged from a rig 128 into a completed wellbore 136 shown in FIG. 1C to select fluid from reservoirs to ground equipment 142. Fluid flows from reservoir 104 through wellbore 136 to ground equipment 142 through a selection network 144. Sensors 8 located around the oil field are operatively connected to ground device 142 for collecting data from them.

- 8 013660 ny. During the operation, the output 135 can be collected from various sensors and transmitted to a ground device and / or processing plant. This data may be, for example, reservoir data, borehole data, ground data and / or process data.

Although only one drilling site is shown, it is obvious that an oil field can cover a piece of land where one or more drilling sites are located. One or more sampling units can be operatively connected to one or more drilling sites for the selective selection of well fluids from drilling sites.

In relation to the oilfield operations shown in FIG. 1Ά-Ό, there are many commercial considerations. For example, the equipment used in each of these figures has various costs and / or risks. At least some of the data collected in the oil field is associated with commercial considerations, such as value and risk. These business data may include, for example, operating costs, drilling times, storage fees, oil / gas prices, weather conditions, political stability, tax rates, equipment availability, geological conditions and other factors that affect the cost of oilfield operations or related potential liabilities. You can make decisions and develop strategic business plans to reduce potential costs and risks. For example, an oilfield project may be based on these commercial considerations. Such an oilfield project may, for example, determine the location of a drilling rig, as well as the depth, number of wells, duration of an operation, and other factors that affect the costs and risks associated with an oilfield operation.

Although in FIG. Figure 1 shows the monitoring tools used to measure the properties of an oil field, it is obvious that the tools can be used in connection with operations other than oil fields, such as mines, aquifers or other underground installations. In addition, although certain data collection tools are described, it is obvious that various measurement tools capable of perceiving properties can be used, for example, the time of two-way propagation of a seismic signal, density, resistivity, production rate, etc., of a geological formation and / or geological structures. Different sensors 8 can be located in different positions along the geological formation and / or on monitoring tools to collect and / or monitor the necessary data. Other data sources can also be provided from remote locations.

The oil field configuration shown in FIG. 1 is not intended to limit the scope of the invention. An oil field may be wholly or partially located on land and / or at sea. In addition, although a measurement of one oil field in one place is shown, the present invention can be used for any combination of one or more oil fields, one or more processing plants, and one or more drilling sites.

In FIG. 2Ά-Ό are graphical representations of the data collected by the tools shown in FIG. 1Ά-Ό, respectively. In FIG. 2Ά shows the seismic track 202 of the geological formation shown in FIG. 1Ά obtained by the intelligence tool 106a. A seismic trace measures bi-directional response over a period of time. In FIG. 2B shows a core sample 133 taken with a log tool 106b. A core study usually provides a graph of the density, resistivity, or other physical property of a core sample along the length of the core. In FIG. 2C shows a borehole log 204 of the geological formation shown in FIG. 1C produced by cable tool 106c. Cable logging typically provides measurements of resistivity at various depths. In FIG. 2Ό shows a curve 206 of the relative drop in fluid production flowing through the geological formation shown in FIG. 1Ό obtained by tool 1066 mining. The curve of the relative decline in production usually shows the rate of production of O as a function of time 1.

The corresponding graphs shown in FIG. 2Ά-2 ^ contain static measurements that describe the physical characteristics of the formation. These measurements can be compared to determine the accuracy of the measurements and / or to control errors. Thus, the graphs of each of the corresponding measurements can be aligned and scaled to compare and verify properties.

In FIG. 2Ό shows a dynamic measurement of fluid properties over a wellbore. As the fluid flows through the wellbore, fluid properties are measured, such as flow rates, pressures, composition, etc. As described below, static and dynamic measurements can be used to generate models of the geological formation to determine its characteristics.

Models can be used to create a model of the geological environment that defines the geological conditions. This model of the geological environment predicts the structure and its behavior as oilfield operations are carried out. As new information is collected, the model of the geological environment may, in whole or in part, need to be adjusted.

In FIG. 3 is a schematic view of a drilling site 300 showing a drilling operation in detail, for example, the drilling operation shown in FIG. 1B, oil field. Drilling rig

- 9 013660 dash 300 includes a drilling system 302 and a surface device 304. In the illustrated embodiment, the wellbore 306 is formed by rotary drilling in a well-known manner. However, it will be apparent to those skilled in the art based on this disclosure that the present invention is applicable to drilling modes other than conventional rotary drilling (for example, directional drilling using a downhole turbine engine) and is not limited to surface drilling rigs.

The drilling system 302 includes a drill string 308 suspended in a wellbore 306 with a drill bit 310 at a lower end. The drilling system 302 also includes a surface assembly 312 of the platform and rig located above the wellbore 306 penetrating the geological formation P. The arrangement 312 includes a drill rotor 314, a drill pipe 316, a hook 318, and a swivel 319. The drill string 308 rotates a drill rotor 314 driven by a tool not shown, which is connected to the drill pipe 316 at the upper end of the drill string. The drill string 308 is suspended on a hook 318 attached to a movable block (also not shown) through a drill pipe 316 and a swivel 319 that allows the drill string to rotate relative to the hook.

The ground system further includes drilling fluid 320 stored in a reservoir 322 formed at the drilling site. A pump 324 delivers drilling fluid 320 into the drill string 308 through a channel in the winch 319, causing the drilling fluid to flow downward through the drill string 308, as indicated by arrow 324. The drilling fluid exits the drill string 308 through the channels in the drill bit 310, and then circulates upward through the area between the outer surface of the drill string and the wall of the borehole, called the annular space 326. Thus, the drilling fluid lubricates the drill bit 310 and transfers the debris to the surface when returning to the reservoir 322 in recycling order.

Drill string 308 further includes a bottom hole assembly (BHA) 330 near drill bit 310 (in other words, at a distance of several lengths of the drill pipe from the drill bit). BHA 330 includes means for measuring, processing and storing information, as well as communication with a ground device. BHA 330 additionally includes weighted drill pipe 328 for various other measurement functions.

Sensors B are located around the drilling site for data collection, preferably in real time, regarding the operation of the drilling site, as well as the conditions at the drilling site. The sensors B shown in FIG. 3 may be the same as the sensors shown in FIG. 1Ά-Ό. The sensors shown in FIG. 3 may also have features or capabilities of monitors, such as cameras (not shown), for providing operation images.

Ground sensors or gauges B can be installed around ground systems to provide information about the ground device, such as riser pressure, hook load, depth, surface torque, rotor speed, etc. Downhole gauges or gauges B are located around the drilling tool and / or the borehole to provide information about the conditions in the borehole, for example pressure in the borehole, weight on the bit, torque on the bit, direction, inclination, revolutions of the weighted b -sterile tubing, tool temperature, annular temperature, orientation, etc. of the wellbore. The information gathered by the sensors and cameras is supplied to various parts of the drilling system and / or to the ground control unit.

The drilling system 302 is operatively connected to a ground device 304 for communication with it. BHA 330 is equipped with a communication subsystem 352, which communicates with a ground device. Communication subsystem 352 is capable of transmitting signals and receiving signals from a surface using pulse telemetry in a drilling fluid. The communication subsystem may include, for example, a transmitter that generates a signal, for example an acoustic or electromagnetic signal that expresses measured drilling parameters. The relationship between downhole and surface systems is represented as telemetry of pulses in a drilling fluid, for example, in US Pat. No. 5,517,464, assigned to the copyright holder of the present invention. It will be apparent to those skilled in the art that various telemetry systems can be used, for example drill pipes equipped with a cable, electromagnetic or other known telemetry systems.

Typically, a well is drilled according to a drilling plan established prior to drilling. The drilling plan usually indicates equipment, pressures, trajectories and / or other parameters that determine the drilling process for the drilling site. Then, the drilling operation can be performed according to the drilling plan. However, as information is collected, the drilling operation may, as necessary, deviate from the drilling plan. Additionally, during drilling or other operations, geological conditions may vary. The geological environment model may also need to be adjusted as new information is collected.

As described above, the present invention provides for combining geoscience modeling software and ATP for modeling and displaying wellbore geometry, drilling parameters, and at least one parameter associated with well drilling. Options,

- 10 013660 associated with well drilling, can quantify the risk, time and cost of drilling a well in a geological context. Those skilled in the art will appreciate that some or all of the above parameters can be displayed. ATP is an intelligent tool for quickly creating a detailed drilling work plan that provides economics and risk analysis. ATP can be a software system or an automated software system. It will be apparent to those skilled in the art that for ATP, one can also understand the risk plugin that is built into geoscience modeling software to evaluate the risk, time and cost associated with drilling a well.

In particular, a user (for example, a specialist in the field of Earth sciences, a geologist, a geophysicist and / or other specialist) creates a geoscientific model that models the geomechanical properties of the geological environment associated with well drilling. The user enters one or more trajectories that represent the drilling trajectory of one or more wells to be drilled, and the ATP uses this data and various catalogs to automatically calculate and deliver the optimal well design, thereby generating a set of output characteristics, for example, the design of the drill string, a step in well for supporting the casing shoe, the weight of the drilling fluid, the choice and use of the bit, hydraulics and other important factors for the drilling task (described below with with reference to Fig. 4). ATP requires the introduction of geomechanical properties of the geological medium obtained from a model of the geological medium, or at least pore pressure, hydraulic fracture pressure gradient and unlimited compressive strength. It will be apparent to those skilled in the art that the geomechanical properties of a geological environment can be retrieved from a filled mechanical model of the geological environment, from interpreted log data for this trajectory, or entered manually. In addition, it will be apparent to those skilled in the art that the trajectory and model of the geological environment can be represented / introduced in three 3Ό dimensions. Based on this input, ATP automatically selects the most suitable drilling rig and its associated properties, costs, and mechanical capabilities. The properties of the drilling rig include parameters such as the nominal characteristic of the drilling rig for assessing risks during operations with heavy casing pipes, the characteristics of pumps for hydraulics, the diameter of the PVP, which affects the diameters of the casing pipes, and, very importantly, the daily norm of the drilling rig and the coefficient of the probe. The user can choose the wrong rig proposed by the ATP, and can make changes to any technical conditions proposed by the software.

ATP has two main groups of users: a specialist in Earth sciences who works with trajectory data and the properties of the geological environment; a drilling engineer who works with wellbore geometry and drilling output parameters to achieve an optimal action plan and risk assessment. ATP provides the necessary technological calculations of drilling, which allow the user to consider drilling options with the least cost of time, money and risks. Earth scientists usually provide data on the trajectory and properties of the geological environment. The scenario, which consists of the process as a whole and its output, can be exported for use with other users for an equal preview or as a communication tool to facilitate project management between office and field workers. For use in commercial solutions, you can create deviations from the scenario. ATP can also be used as a training tool for geoscientists and drilling engineers.

ATP corresponding to the present invention includes a set of tasks. The set of tasks is divided into four groups: the input task, where the input data is provided, the wellbore geometry task, the drilling parameters task, where the calculations are performed, and the results task, where the set of results is calculated and presented to the user. The input task includes the following components: scenario information, trajectory, properties of the geological environment, drilling rig selection, and re-sampling data. The task of the wellbore geometry includes the following components: wellbore stability, drilling fluid weight and casing installation depths, wellbore diameters, casing design, cement structure and wellbore geometry. The task of drilling parameters includes the following components: drilling fluids, bit selection, drill string design, hydraulics. The task of the results includes the following components: risk assessment, risk matrix, time and cost data, time and cost table, Monte Carlo simulation method, Monte Carlo graph, summary report and installation. System tasks are organized in a single sequence of operations in which the output of one task is the input of the next. The user can change most of the outputs, which allows you to fine-tune the input values for the next task.

In the present invention, the ATP is combined with a geological and geophysical application, whereby the ATP can display the time, cost and risk associated with a project well in a geological context. The geological and geophysical application may be an application 3Ό modeling of the geological environment. A design well can also be considered as a conceptually designed well for drilling. It will be apparent to those skilled in the art that geology

- 11 013660 a geophysical application may be a geological application, a geophysical application, an oilfield service application, an earth science application, a geological visualization application, or a combination of the above types of applications. In FIG. Figure 4 shows a logical block diagram for using a geological and geophysical application combined with ATP to display the time, cost, and risk associated with a project well. Initially, at step 100, the geological and geophysical application creates a geological and geophysical model that represents the geological marking horizon (i.e., the surface of the project well) and the geomechanical properties of the geological environment associated with the geological marking horizon. Then, at step 102, data including a path associated with the project well is collected and entered into the model created in step 100. It will be apparent to those skilled in the art that data associated with more than one path may be collected and entered into the model . In addition, the trajectory and model can be represented in 3Ό. After entering the trajectory, the model extracts the geomechanical properties of the geological medium along the trajectory (not shown).

At step 104, the ATP is applied in the geological context of the geological and geophysical application. ATP is capable of obtaining the trajectory and geomechanical properties of the geological environment associated with the trajectory at step 106. Thus, there are two obtainments of the trajectory and properties of the geological environment associated with the trajectories: the model created at step 100 retrieves the trajectory and properties of the geological environment associated with with a path, and then the ATP receives the same information from the model. It will be apparent to those skilled in the art that the ATP can obtain the trajectory and properties of the geological environment associated with the trajectory directly from the geological-geophysical model. Alternatively, the model may provide the trajectory and properties of the geological environment for the ATP.

According to FIG. 4, after the ATP receives the trajectory and the geomechanical properties of the geological environment associated with it, the ATP uses this data to automatically determine the wellbore geometry, drilling parameters, and parameters such as risk, time and cost associated with the project well, at step 108. Then, the calculated wellbore geometry, drilling parameters and parameters, which may include the risk, time and cost associated with the project well, are displayed to users, which allows them to visually observe the calculated design characteristics of the well in step 110. In particular, PCA calculates the geometry of the borehole, drilling parameters, and quantification of risk probability distribution time and cost to the design of drilling. The calculated and displayed data are written back to the geological and geophysical model for further use. In the last step 112, users can use the calculated characteristics to refine the model, trajectory, and properties of the geological environment. Thus, based on visualization of the design well characteristics, users can carry out sensitivity analysis, suggest alternative scenarios, etc. to improve the design well’s characteristics. In the end, ATP can be updated and re-launched within a time frame consistent with the adoption of operational decisions. The entire rescheduling process should be fast enough so that users can quickly repeat it to refine well plans through a series of hypothetical scenarios.

It will be apparent to those skilled in the art that the process shown in FIG. 4 can be repeated for each trajectory introduced into the geological and geophysical model. Thus, in FIG. Figure 4 shows a process that can be repeated for all relevant trajectories associated with a design well. In addition, it will be apparent to those skilled in the art that the subsequent references to ATP in the remainder of this disclosure refer to ATP represented in FIG. 4. Advantageously, well planning in a geological and geophysical context similar to that described with reference to FIG. 4 saves time and money, provides an objective / error-free visualization of the characteristics that are most important for specialists in Earth sciences and other specialists involved in the drilling process. In addition, the process of FIG. 4 allows for the probabilistic determination of a three-dimensional trajectory optimized with respect to risks in the context of a three-dimensional model of the geological environment. Thus, the geological and geophysical model can be a three-dimensional model of the geological environment. In addition, the way that ATP calculates parameters, such as risk, time and cost of a project well, is transparent to users. This way, users can easily understand how risk, time and cost are calculated to determine why risk, time or cost for a particular trajectory is high / low in specific areas. In addition, the above process can be used to plan multiple conceptual drilling wells by simultaneously setting multiple trajectories in the field.

In ATP, a detailed work plan of action is automatically collected from user-customizable templates. To obtain the drilling time for the project well, the duration of each action is calculated based on the results of previous tasks and may include downtime, which is the time when operations are not planned, or, due to operational problems, the development of the well is delayed, which is also often called “alarm time” . The action plan sets the range (minimum, average and maximum) of time and cost for each action and after

- 12 013660 for sure lists operations as a function of depth and borehole section. This information is graphically presented in graphs of the dependence of time on depth and cost on depth, which are displayed in the geological context of the geological and geophysical application. The system generates a time versus depth curve based on a detailed action plan. In particular, the system creates the best, average, and worst set of time curves using combinations of default and historical data.

ATP can use Monte Carlo simulations to match all time and cost data in a range to create probability distributions of time and cost. In particular, ATP prompts the user to select probability values, for example, P10, P50, P90, and then starts the Monte Carlo simulation to generate a probability distribution curve for the scenario, highlighting the reference points selected by the user and the corresponding time values. ATP provides this data as frequency data or integral probability curves. ATP generates a cost plan using default cost templates that are pre-configured by the user and can be changed at that moment. Many costs are associated with the duration of the entire well, sections of the wellbore or specific actions to calculate the costs incurred.

As indicated above, ATP is able to calculate estimated risks for a variety of risks associated with a project well. Risks are calculated by four methods: by individual risk parameters, by risk categories, by total risk, and by calculating qualitative risk indices.

In ATP, the drilling event risks are quantified by 54 risk categories in which the user can configure risk thresholds. Risk categories are displayed on the graph as a function of depth and are color coded to speed up the visual interpretation of potentially hazardous areas. In addition, risk assessment is achieved by grouping 54 risk categories into general categories, which may include gains, losses, pipe jamming and mechanical problems. The total risk log may be displayed along the path to correlate drilling risks with the geological marking horizons and the geomechanical properties of the geological environment (i.e., the physical characteristics of the rock). Additional types of risk analysis display actual risk as part of the potential risk for each design task.

The risk assessment component associated with the ATP in accordance with the present invention may be a system that automatically evaluates the risks associated with decisions regarding the design of a technical well in relation to the geological and geomechanical properties of the earth and due to mechanical limitations of the equipment prescribed or recommended for use . Identifying the risks associated with drilling a well is currently probably the most subjective process in planning a well. It is based on how a person understands part of the construction of a technical well that is not related to the properties of the geological environment or mechanical equipment used to drill the well. Identification of any risks is carried out by combining all the information about the well, geological conditions and equipment in the human mind and mental filtering of all information, displaying the relationships and determining, solely on the basis of personal experience, which parts of the project constitute potential risks for the overall success of this project. It is extremely sensitive to the systematic error introduced by the person, the human ability to remember and combine all the data in the mind and experience of a person, which allows you to recognize the conditions that cause each risk of drilling.

Individual risk parameters can be calculated along the measured well depth and color coded according to high, medium or low risk for display to the user. Each risk indicates to the user exactly what the neglect of risk will lead to, and the importance and task in the sequence of risk control operations. These risks are calculated in a consistent and transparent manner, which allows users to see and understand all known risks, and how they are identified. These risks also inform the user which aspects of the well justify additional engineering efforts for more detailed exploration.

Risk groups / categories can be calculated by including all individual risks in specific combinations. Each individual risk is a member of one or more risk categories. The four main categories of risks are defined as follows: revenue, loss, pipe jam and mechanical risks. The above four risk categories are the most common and costly group of hazardous drilling events around the world. The total risk for the scenario is calculated based on the aggregate results of all risk groups / categories along the risk and depth axes.

Each individual risk parameter can be used to create an individual risk index, which is a relative indicator of the probability of a particular risk. It can be purely qualitative, but always to compare the relative probability of one risk to another - it is especially indicative if expressed as a percentage change. Each risk category can be used to create a risk category index that also indicates the probability of occurrence and is useful for indicating which types of hazardous events can be expected with the greatest

- 13 013660 by probability. Finally, you can create an index of one risk for a scenario, which is especially useful for comparing the relative risk of one scenario to another.

The ATP of the present invention is able to automatically provide a complete technical risk assessment. In the absence of a unified design model for a technical well to compare structural decisions with corresponding risks, ATP can correlate risks with specific structural decisions and can direct users to the appropriate place to change design choices in efforts to change the risk profile of the well.

ATP can use risk assessment algorithms and logical expressions for risk assessment to calculate the various risks associated with a project well. Input values that are used as input for risk assessment algorithms and risk assessment logic expressions include:

(1) Casing installation depth (2) Measured depth (3) True vertical depth (4) Mud weight (5) Measured depth (6) Mechanical penetration rate (7) Pore pressure (8) Static temperature (9) Pump flow (10) Degree of curvature (11) Equivalent mud circulation density (12) Slope (13) Bore diameter (14) Casing diameter (15) East / West distance (16) North / South distance (17) Water depth ( 18) Maximum water depth (19) Maximum well depth (20) Impact resistance (21) Weight weighted of drill pipe 1 (22) Weight of drill pipe 2 (23) Weight of drill pipe (24) Weight of drill pipe with thickened wall (25) Nominal tensile strength of drill pipe (26) Upper redistribution of borehole stability (27) Lower limit of stability borehole (28) Unlimited compressive strength (29) Bit diameter (30) Mechanical drilling energy (unlimited compressive strength integrated over the distance traveled by the bit) (31) Ratio of the drilling volume to the average penetration on the bit (32) Total not limited compressive strength (33) Cumulative excess unlimited compressive strength (34) Ratio of total unlimited compressive strength (35) Average unlimited rock compressive strength in a section (36) Average per bit unlimited rock compressive strength in a section (37) Average bit life (38) The average volume of drilling for a bit (39) Turnovers (40) Bottom-hole time (41) Estimated total number of bit revolutions (42) Sinking time (43) Critical flow (44) Maximum flow in section st ol wells (45) Minimum flow wellbore portion (46) consumption (47) The total area of the nozzle discharge from the bit (48) lifting height grout (49) lifting the tail suspension height (50) Length leading suspension

- 14 013660 (51) Tail slurry length (52) Lead slurry cement density (53) Tail slurry cement density (54) Casing weight per foot (55) Casing fracture pressure (56) Casing collapse pressure (57) Casing type casing (58) Hydrostatic pressure of the cement column (59) Initial depth (60) Final depth (61) Conductor (62) Depth of start of the borehole section (63) Completion of an open well or cased hole (64) Casing inner diameter (65) Outer Casing Diameter (66) Drill Type ora (67) Pore pressure without safety margin (68) Design parameter of pipe tensile strength (69) Design parameter of casing collapse pressure (70) Design parameter of pipe tensile strength (71) Nominal load on the derrick (72) Nominal load on the drill winches (73) Nominal pitch compensation (74) Nominal tensile strength of the pipe (75) Average BOP bit (76) Average bit speed (77) Well type (78) Maximum pressure (79) Maximum liner pressure rating (8 0) Circulation pressure (81) Maximum IS8 bits (82) Air gap (83) Casing installation depth (84) H ₂ content (85) CO ₂ content (86) Offshore well (87) Maximum flow rate limit

Risk Assessment Constants

The values of the risk assessment constants, which are used as input for risk assessment algorithms and logical expressions of risk assessment, include the following:

(1) Maximum excess of drilling mud weight over pore pressure (2) Design parameter of minimum required tensile strength (3) Design parameter of minimum required tensile strength (4) Design parameter of minimum required tensile strength (5) Rock density (6) Density sea water.

Risk Assessment Catalogs

Values of risk assessment directories that are used as input to risk assessment algorithms and risk assessment logical expressions include the following:

(1) Catalog of risk matrices (2) Catalog of risk calculations (3) Catalog of drill string components (4) Catalog of drill bits (5) Catalog of feed rates (6) Catalog of heavy drill pipes (7) Catalog of drill pipes (8) Catalog of minimum and maximum costs (9) Catalog of pumps (10) Catalog of drilling rigs (11) Catalog of settings for constants and variables (12) Catalog of tubing.

- 15 013660

Risk Assessment Output

The following paragraphs provide the output of a risk assessment that is created by risk assessment algorithms. The output of risk assessment includes the following types of output: risk categories, risk subcategories, individual risks. Risk categories, Risk Subcategories, and Individual Risks included in the Risk Assessment Output include the following:

The following risk categories may be included in the calculation:

(1) Individual risk (2) Average individual risk (3) Sub-category risk (4) Average sub-category risk (5) Total risk (6) Average total risk (7) Potential risk for each design task (8) Actual risk for each task designing.

The following risk subcategories may be included in the calculation:

(1) Risks of loss of income (2) Risks of loss (3) Risks of stuck pipes (4) Mechanical risks.

The following set of formulas / equations demonstrates in detail how each risk calculation can be performed.

Calculation of risk # 1 - Calculation of individual risk

According to the above risk assessment output, fifty-four Individual Risks are specified. For Individual Risk:

High risk = 90,

Average risk = 70,

Low risk = 10,

High-risk color code = red,

Medium risk color code = yellow,

Low-risk color code = green.

If Risk Assessment Logic expressions assign the High Risk rank to a particular Input Calculation Result, then Risk Assessment Algorithms set this Input Calculation Result to 90 and this input Result is red. If Risk Assessment Logical Expressions assign the rank Medium Risk to a particular Input Calculation Result, then Risk Assessment Algorithms set this Input Calculation Result to 70 and this input Result is yellow. If Risk Assessment Logical Expressions assign the Low Risk rank to a particular Input Calculation Result, then Risk Assessment Algorithms set this Input Calculation Result to 10 and this input Result to green.

Therefore, in accordance with the Ordered Individual Risks from Logical Expressions, Risk Assessment Algorithms assign each of the Ordered Individual Risks a value of 90 and color red for high risk, a value of 70 and color yellow for medium risk, and a value of 10 and color green for low risk. However, in addition, in accordance with the Ordered Individual Risks from Logical Expressions, Risk Assessment Algorithms also generate a set of ordered Risk Categories and a set of ordered Risk Sub-Categories.

Risk assessment outputs may include: eight Risk Categories, four Risk Subcategories, and fifty-four Individual Risks [i.e. 54 individual risks plus 2 gains plus 2 losses plus 2 jams plus 2 mechanical plus 1 full = 63 risk].

Risk Calculation # 2 - Average Individual Risk

The average of all Risk Values can be calculated as follows:

^ Value of risk.

Average individual risk = —--—------.

P

To determine the Average individual risk, the aforementioned Risk Values are summarized and the sum is divided by the number of such Risk Values, where ί = the number of sample points. The value of the Average individual risk is displayed at the bottom of the colored track of individual risks.

Risk Calculation # 3 - Risk Subcategory

- 16 013660

According to the aforementioned Risk Assessment Output, the following Risk Subcategories are defined: income, loss, jam and mechanical risks, where the Risk of a subcategory (or Risk Subcategory) can be defined as follows:

U ”(Value, risk,

Risk subcategory = - ---- y ---------- g -------,

Y _y (severity _y x Ν,)

.) = number of individual risks, 0 <Degree <5, and

N = 1 or 0 depending on whether the Risk value is involved in a subcategory,

Severity _, = from the catalog of risk matrices.

A red risk indicator means a risk subcategory> 40;

A yellow risk indicator means 20 <Risk subcategory <40;

A green risk indicator means a risk subcategory <20.

Risk Calculation # 4 - Medium Risk Subcategory

^. (risk subcategory, x risk factor,) Average risk of the subcategory = ~,

At the coefficient coefficient, η = the number of sample points.

The value of the average risk of the subcategory is displayed at the bottom of the colored track of the risk of the subcategory.

Risk coefficient = 3 means Risk subcategory> 40;

Risk coefficient = 2 means 20 <Risk subcategory <40;

Risk coefficient = 1 means Risk subcategory <20.

Risk Calculation # 5 - Total Risk

Total risk can be calculated on the basis of the following categories: income, loss, stuck and mechanical risks.

^ / Sub-category of risks _to

Full risk —---------- where k = number of subcategories.

A red risk indicator indicates Total Risk> 40.

A yellow risk indicator means 20 <Total risk <40; A green risk indicator means Total risk <20.

Risk Calculation # 6 - Medium Total Risk

Y (risk subcategory, x risk factor)

Medium total risk --------------------

The coefficient risk, η = the number of sample points.

Risk coefficient = 3 means Risk subcategory> 40;

Risk coefficient = 2 means 20 <Risk subcategory <40;

Risk coefficient = 1 means Risk subcategory <20.

Risk Calculation # 7 - Risks to the Design Problem

The following 14 design tasks can be set: Scenario, Trajectory, Mechanical Model of the geological environment, Drilling rig, Stability of the borehole, Weight of drilling fluid and installation depth of the casing string, Dimensions of the borehole, Casing string, Cement, Drilling fluid, Bit, Drill string, Hydraulics and time. 54 individual risks are currently defined, but it will be apparent to those skilled in the art that more or less risks can be used.

Calculation of risk # 7A - Potential maximum risk for the design problem Σ -I ^{X degree} ^ ^bk } ^X ^ k, y)

Potential risk _k = - _i ^:, xL ^) k = index of design problems, there are 14 design problems,

N = 0 or 1, depending on whether the Risk Value is involved in the design task. 0 <Degree <5.

Risk Calculation # 7B - Actual Risk for a Design Task

Y ⁵ \ (average individual risk _} x Degree _; x Ν _{);> y} ) Actual risk _k - ———----- _; ^: , ^ (Degree, хЛГ _м ) к = index of design problems, there are 14 design problems,

- 17 013660 e [0, ..., M],

0 <Degree <5.

The degree in the above equations can be specified as follows:

Risk Power H23_CO2 2.67 Nuigschez 3.33 ννβΙΜΛ / Ο 3.67 OBZ 3 TOET 3 ννθιι_Μ0 4.33 (ΝΟ 3 ΗθΓ „ρίδρ 4.67 ΩΩΙ 4.33 PP_N1d 4.33 ΡΡ_Ιθνν 2.67 Kosk Nagy 2 Kosk Zoy 1.33 TatrN1d 3 5 N! D „MO 5 55_YOR 3.67 MUOCHSk 4 3 LMCEGas 3.33 MIME/ 3.33 UV5 3 ννβδίν 3.33 NZBeber 3 No1e_V! D 2 No1e_5t 2.67 No1e_Szd 2.67 SzdC Garden 2.33 Sed_Vk 1.67 SzdDER 4 Szd ννΐ 3 S5d_MOR 2.67 Szd_Sheag 1.33 S5d_Soip ( 4.33 CBT_Bow / 1.67 STsKyuk 3.33 Cfg__1_O55 2.33 STIRgas 3.33 VTs_Zh 2.33 Vf. \ L / kX8 2.33 VY_R1d 2.33 VY_NG5 2 Vk_Kgeu 2 Vy_NOR 2 vi_iss 3 □ 5_MOP 3.67 O8_RaN 3 Kük ΤσΙ 4.33 O_SSH 2.67 a_mah 3.33 Sshpd 3.33 P_Max ΤΕΑ_ί_ονν 1.33 ECO_Rgas 4 ECO_Bo55 3.33

- 18 013660

Individual average risk can be calculated based on Risk Values as follows:

\ Risk value

Average individual risk = —---.

P

The risk of a subcategory or Subcategory of risk can be calculated based on the Risk Values and Degree as defined above, as follows:

^ (Value Risk _} xstep _> xL ',)

Risk Subcategory = ——---- = - 7 -----------! -------.

2 ^. [Degree _] xΝρ

The average risk of a subcategory can be calculated based on the Risk Subcategory as follows:

'Y''' (Subcategory of risk _ί x risk coefficient)

Average risk of subcategory = —-------------------------------------- n

The risk factor

Total risk can be calculated based on the Risk Subcategory as follows:

„ ⁴ Subcategory of risk _to

Full risk - - ^! --------.

Average overall risk can be calculated based on the Risk Subcategory as follows:

Sub-category of risk, risk coefficient,)

Average total risk = -------- C — C ---! ---------- SC p

^ risk factor,

Potential risk can be calculated based on the Degree, as defined above, as follows:

Y ”, (90x degree _k] xP _k )

Potential risk * = - ⁷ _and >

{power.,.

Actual risk can be calculated based on Average Individual Risk and Degree, as defined above, as follows:

y ⁵ ^ (Average individual risk _/ x Degree _} xLu) Actual risk _k = ——------------------------------- -------—

X ”, (degree ₇ xLG ^.)

In FIG. 5 shows a graphical user interface 500 in a geoscientific application for displaying risk assessment associated with a design well. The GUI 500 can be displayed from a geoscientific application, which can be used to configure and display three-dimensional displays of various properties associated with the project well. The GUI 500 includes a taskbar 502, a toolbar 504, an integrated display 506, an input dialog ATP 508, and graphical visualization 510. Each of the aforementioned GUI components 500 is described in detail below.

The GUI task panel 502 500 may include a list of a set of risk assessment tasks that the user can select to enter data, set wellbore geometry, set drilling parameters, and output result parameters, such as time and cost, associated with the project well. As noted above, the set of tasks is organized as an ordered sequence of operations of the system in which the output of the previous task is the input of the next task. By selecting the tasks that the user wishes to transmit data to and which he wants to display, the user can indicate which tasks are related to risk assessment carried out through ATP.

Each of the risk assessment tasks can be associated with input used to calculate risk information. The dashboard 504 shown in the GUI 500 is used to select an ATP from a hierarchical display of various functionalities that can be combined with a geological and geophysical application. It will be apparent to those skilled in the art that selecting an ATP using a dashboard 504 combines an ATP with a geological and geophysical application.

According to FIG. 5, when selecting the ATP from the toolbar 504, the user is presented with an input dialog of the ATP 508 to enter the trajectory and properties of the geological environment associated with the project well. Based on the trajectory and properties of the geological environment entered into the input dialog box СПС 508, СПС calculates the wellbore geometry, drilling parameters, risk assessment, probabilistic time and cost distributions of the project well. The aforementioned characteristics calculated by the ATP are displayed on the integrated display of the GUI 500. The graphical visualization 510 also displays a color-coded risk assessment calculated by the ATP in a geological context. According to FIG. 5 graphic display 510 can display the outline

- 19 013660 of the geological surface on which the project well will be drilled, together with the calculated risk for each section of the geological surface. As shown above, the greater the number of risks, the greater the risk when creating a design well.

The above risk categories and risk subcategories and individual risks can be visualized in two dimensions 2Ό [or, potentially, in three changes 3Ό] in depth in the wellbore, displaying completely ordered risk categories, ordered risk subcategories, and ordered individual risks. The type of risk in two dimensions can be displayed in two ways: the first method is to display the risk parameter, risk category and risk summary depending on depth; the second way is to display the total risk depending on the task of the sequence of operations, indicating the relative contribution of risk to each technical design task in the sequence of operations.

Based on the method of calculating risks, an array of risk values is created that can be visualized as a well log. Logs are a standard way of visualizing data in the oil and gas industry, which is also a natural means of visualizing risk. These logs can be plotted in two or three dimensions. Logs in two dimensions have any number of display methods, which provides unlimited flexibility, however, display in three dimensions gives something special. Displaying risk data in three dimensions, with or without a color scale, can also be very useful for creating visual volumes of risk along a path. Those skilled in the art will appreciate that risk data can also be displayed in four dimensions by adding a time dimension.

These risk visualization methods in accordance with the present invention are used to visualize risks in three dimensions of the geological and geophysical model and to identify the coincidence of risk levels and geological features. This allows users to identify correlations from the positional coincidence of risk and geophysical attributes, geological features, reservoir simulation results (like current tubes), mechanical stresses, and positional trajectory uncertainty. Based on any correlation or other correlation detection, users can evaluate the advantages and disadvantages of changing the position or design of the well to reduce the cost and / or risks associated with the well.

Risk information corresponding to the trajectory and properties of the geological environment is shown in the form of a display in three dimensions in a geological context in a geological and geophysical application. Thus, color-coded risk levels corresponding to different trajectories for the project well are displayed together with the trajectory path, geological formations and any other necessary information that is presented graphically in the geological and geophysical application. It will be apparent to those skilled in the art that the use of geological and geophysical applications to create three-dimensional graphical representations of conceptual drilling wells is well known in the art.

In FIG. 6-11 show examples of displaying risk information in a geological context. In FIG. 6 shows an example of GUI 512 showing a three-dimensional image representing a conceptual well in a geological formation, where different colors represent the depth range of each area shown. In FIG. Figure 6 shows a map of the contours of the surface of the earth where drilling is performed. In particular, in FIG. Figure 6 shows the change in height of the geological marking horizon (i.e., the geological surface). Thus, one contour in the image in FIG. 6 represents a constant height along the shape of the geological marking horizon. In addition, there are five paths (represented by five lines ending in red dots) for five different drilling paths that start from one starting position. The image shown in FIG. 6, represents a typical image created by a geological and geophysical application when modeling data of a model of the geological environment, geomechanical properties of the geological environment and input paths provided by the user.

In FIG. 7 shows a GUI 514 with risk information displayed in a geological context. In particular, the risk information displayed in FIG. 7 is based on a graphical representation of a conceptual well created by a geological and geophysical application and shown in FIG. 6. Thus, color-coded risk information (for example, red = high risk, yellow = medium risk and green = low risk) is superimposed on the image shown in FIG. 6. Thus, a user viewing a graphical representation of risk information can immediately understand which geological areas are associated with a high risk for drilling a well, and which geological areas are associated with an average or low risk for drilling a well. In particular, in FIG. Figure 7 shows the risk in each section of the formation and along each trajectory when moving up. It will be apparent to those skilled in the art that the visual display of risk information can also be color coded using a continuous color transition, not limited to discrete colors. Thus, any combination of colors can be used to display information related to well drilling. In addition, in FIG. 7 shows risk information graphically presented along each trajectory.

- 20 013660

In FIG. 8 shows a top view GUI 516 for FIG. 7. In particular, in FIG. Figure 8 shows risk information at a constant depth (represented by the vertical cross section shown in the image). Risk information can be displayed in multiple vertical cross sections. Similarly, in FIG. 9 shows a GUI 518 that displays the risk associated with multiple vertical cross sections of a geological marking horizon that are grouped / assembled in one plane. This provides the observer with an average risk of all or some of the vertical cross sections, which allows observing the areas of greatest and least risk in comparison with a specific depth.

In FIG. Figures 10 and 11 show GUI 520 and GUI 522, respectively, where risk information is plotted on the x and y interface (where ζ is the vertical interface discussed in Figs. 8 and 9). Thus, the user can graphically observe the risk information along the xy interface to study the risks that occur along the length and width of the geological marking horizon.

The risks associated with well planning in a geological context, which may overlap or be independent, are conveniently displayed. In addition, the invention allows you to see a generalized level of risk for the well at each depth (i.e. in the geological context). In addition, the invention allows the user to see risk categories and individual risks individually or simultaneously in two-dimensional or three-dimensional views. In addition, the invention provides visualization of a three-dimensional trajectory optimized with respect to risks in a three-dimensional geological context (i.e., three-dimensional models of the geological environment).

The invention can be implemented on almost any type of computer, regardless of the platform used. For example, as shown in FIG. 12, computer system 900 includes a processor 902, random access memory 904, memory 906, and many other elements and function blocks typical of modern computers (not shown). Computer 900 may also include input means, such as a keyboard 908 and mouse 910, and output means, such as a monitor 912. Computer system 900 is connected to a local area network (LN) or to a wide area network (such as the Internet) (not shown) through a network interface connection (not shown). Those skilled in the art will appreciate that these input and output tools can take other forms.

In addition, it will be apparent to those skilled in the art that one or more of the elements of the aforementioned computer system 900 may be located at a remote location and connected to other elements via a network. In addition, the invention can be implemented on a distributed system having a plurality of nodes, where each part of the invention (for example, ATP, geological program, etc.) can be located on a separate node in a distributed system. The node corresponds to a computer system. Alternatively, the node may correspond to a processor with corresponding physical memory. Alternatively, the node may correspond to a processor with memory and / or shared resources. In addition, program instructions for implementing embodiments of the invention may be stored on a computer-readable medium, such as a CD, diskette, tape, file, or any other computer-readable storage device.

Although the invention has been described with respect to a limited number of embodiments, those skilled in the art will be able to propose other embodiments based on this disclosure that are within the scope of the invention disclosed herein. Accordingly, the scope of the invention is limited only by the attached claims.

Claims (58)

CLAIM 1. A method of performing oilfield operations for an oil field having a geological formation containing a reservoir and provided with at least one drilling platform with oilfield equipment for extracting fluid from the reservoir, comprising the following steps: collection of data containing the trajectory of the project well and the properties of the geological environment for geological and geophysical modeling to obtain a geological and geophysical model; application of a well planning system combined with geological and geophysical modeling; obtaining the trajectory of the project well and the properties of the geological environment from the geological and geophysical model; determination of risk information for the project well based on the obtained trajectory and properties of the geological environment; plotting risk information as a function of the depth of the project well along its obtained trajectory; displaying risk information associated with the project well in the geological context of geological and geophysical modeling to improve the design well for efficient production of fluid from the underground reservoir, the geological context containing at least the obtained trajectory of the design well and the obtained properties of the geological environment. - 21 013660 2. The method according to claim 1, which further comprises determining and displaying the time required to complete the project well and the cost of the project well. 3. The method according to claim 1, further comprising the step of calculating the wellbore geometry and drilling parameters for the design well based on the obtained trajectory of the design well and the properties of the geological environment. 4. The method according to claim 2, in which the time required for completion of the project well, and the cost of the project well comprise a probabilistic distribution of the time of completion of the well and the cost of the project well. 5. The method according to claim 2, wherein the risk information comprises at least one ordered risk category and at least one ordered risk subcategory. 6. The method according to claim 5, in which the risk category contains at least one selected from the group consisting of average individual risk, subcategory risk, average subcategory risk, total risk, average total risk, potential risk for each design task and actual risk for every design task. 7. The method according to claim 5, in which the risk subcategory contains at least one selected from the group consisting of the risk of loss of income, risk of loss, risk of stuck pipe and mechanical risk. 8. The method according to claim 1, in which the properties of the geological environment contain at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient and rock strength for unlimited compression. 9. The method according to claim 2, in which the risk information is displayed in a geological context in the form of at least one selected from the group consisting of three-dimensional and four-dimensional information. 10. The method according to claim 1, further comprising the step of selecting a set of risk assessment tasks associated with the trajectory of the project well and the properties of the geological environment. 11. The method according to claim 10, in which the set of risk assessment tasks is organized as a sequence of system operations, and the output of each of the set of risk management tasks is used as an input to the next risk management task. 12. The method of claim 10, wherein the set of risk assessment tasks is used to perform risk calculation. 13. The method according to claim 1, in which the trajectory of the project well and the properties of the geological environment are presented in three dimensions. 14. A graphical user interface associated with geological and geophysical modeling for oilfield operations for an oil field having a geological formation containing a reservoir and provided with at least one drilling platform with oilfield equipment for extracting fluid from a reservoir containing a task manager, able to display the totality of risk assessment tasks for selection, each of which is associated with the trajectory and properties of the geological environment used to calculate risk information, and a dashboard capable of displaying a well planning system for selection combined with geological and geophysical modeling after selection, while the graphical user interface is able to display risk information as a function of the depth of the project well along its trajectory in the geological context of geological and geophysical modeling to improve the design well for efficient production of fluid from the reservoir, while the geological context contains, in m to a lesser extent, the obtained trajectory of the project well and the obtained properties of the geological environment. 15. The graphical user interface of claim 14, which is capable of displaying the time required to complete the project well and the cost of the project well. 16. The graphical user interface of claim 14, which is further capable of displaying wellbore geometry and drilling parameters associated with the design well. 17. The graphical user interface of claim 14, wherein, when selecting a well planning system, a configuration dialog is displayed capable of accepting the project well trajectory and geological environment properties entered by the user. 18. The graphical user interface of claim 14, wherein the properties of the geological environment comprise at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient and unlimited rock compressive strength. 19. The graphical user interface of claim 14, wherein the set of risk management tasks is organized as a sequence of system operations, and the output of each of the set of risk management tasks is used as an input to the next risk management task. 20. The graphical user interface of claim 14, wherein the risk information is displayed on a graph along the path of the project well in at least one selected from the group consisting of a three-dimensional graphical display and a four-dimensional graphical display. 21. The graphical user interface according to 14, in which the trajectory of the project well and the properties of the geological environment are presented in three dimensions. - 22 013660 22. A well planning system for performing oilfield operations for an oil field having a geological formation containing a reservoir and provided with at least one drilling platform with oilfield equipment for extracting fluid from the reservoir, comprising an input device capable of obtaining a project well trajectory and geological properties environment from the geological and geophysical model in geological and geophysical modeling, a computing device capable of calculating the geometry of the trunk wells, drilling parameters and risk information associated with the project well using the project well trajectory and the properties of the geological environment, and a display device capable of displaying risk information as a function of the depth of the project well along its trajectory, in the geological context of geological and geophysical modeling to improve the design wells for efficient production of fluid from the reservoir, while the geological context contains at least the resulting trajectory of the design well and the obtained properties of the geological environment, and well planning combined with geological and geophysical modeling. 23. The system of claim 22, wherein the computing device is further capable of calculating the time required to complete the project well and the cost of the project well. 24. The system according to item 23, in which the time required to complete the project well, and the cost of the project well, calculated by the computing device, contain a probabilistic distribution of the specified time and cost. 25. The system of claim 23, wherein the risk information comprises at least one ordered risk category and at least one ordered risk subcategory. 26. The system of claim 25, wherein the risk category comprises at least one selected from the group consisting of average individual risk, subcategory risk, average subcategory risk, total risk, average total risk, potential risk for each design task and actual risk for every design task. 27. The system according A.25, in which the risk subcategory contains at least one selected from the group consisting of the risk of loss of income, risk of loss, risk of stuck pipe and mechanical risk. 28. The system according to item 22, in which the properties of the geological environment associated with the trajectory of the project well contain at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient and unlimited compressive strength of the rock. 29. The system of claim 23, wherein the risk information is displayed in a geological context in the form of at least one selected from the group consisting of three-dimensional and four-dimensional information. 30. The system according to item 22, in which the trajectory of the project well and the properties of the geological environment are presented in three dimensions. 31. A computer storage medium for performing oilfield operations for an oil field having a geological formation containing a reservoir and provided with at least one drilling platform with oilfield equipment for extracting fluid from a reservoir in which a computer-readable program code is embodied on a computer storage medium , which requires a computer system to collect data containing the trajectory of the project well and the properties of the geological environment for the geological and geophysical modeling to obtain a geological and geophysical model, apply the well planning system combined with geological and geophysical modeling, obtain the project well trajectory and the properties of the geological environment from the geological and geophysical model, determine risk information based on the received well trajectory and properties of the geological environment, construct an information graph risk as a function of the depth of the project well along its obtained trajectory, display the risk information associated with the project well in geological in the context of geological and geophysical modeling to improve the design well for efficient production of fluid from the underground reservoir, the geological context contains at least the obtained trajectory of the design well and the obtained properties of the geological environment. 32. The computer storage medium according to p, in which a computer-readable program code, which further requires the computer system to display the time required to complete the project well, and the cost of the project well. 33. A method for conceptual well planning, comprising the following steps: applying a risk plug-in combined with geological and geophysical modeling; introduction of parameters related to well drilling in geological and geophysical modeling; implementation of a set of risk calculations using parameters to obtain risk information; displaying the time required to complete the project well, the cost of the project well and risk information as a function of the depth of the project well along its path associated with drilling the well in the geological context of geological and geophysical modeling, while the geological context contains at least the resulting project path wells and obtained properties of the geological environment. - 23 013660 34. The method according to claim 33, wherein the risk information comprises at least one ordered risk category and at least one ordered risk subcategory. 35. The method according to clause 34, in which the risk category contains one selected from the group consisting of average individual risk, subcategory risk, average subcategory risk, total risk, average total risk, potential risk for each design task and actual risk for each design tasks. 36. The method according to clause 34, in which the risk subcategory contains at least one selected from the group consisting of income loss risks, loss risks, pipe stuck risks and mechanical risks. 37. The method according to clause 33, in which the parameters associated with drilling the well, contain at least one selected from the group consisting of the trajectory of the project well and the data of the model of the geological environment. 38. The method according to clause 37, in which the display of risk information comprises constructing a graph of risk information along the trajectory associated with drilling the well. 39. The method according to § 38, in which the data of the model of the geological environment contain at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient and rock strength for unlimited compression. 40. The method of claim 33, wherein the risk information is displayed in a geological context in three dimensions. 41. The method according to claim 33, further comprising the step of selecting a set of risk assessment tasks, each of which is associated with input data. 42. The method according to paragraph 41, wherein the set of risk assessment tasks is organized as a sequence of operations of the system, and the output of each of the set of risk management tasks is used as an input to the next risk management task. 43. The method according to paragraph 41, wherein the set of risk assessment tasks is used to perform risk calculation. 44. A graphical user interface associated with a geological application for conceptual well planning, comprising a task manager capable of displaying a set of risk assessment tasks for selection, each of which is associated with input used to calculate risk information, and a dashboard capable of displaying a plug-in risk for choice, combined with geological and geophysical modeling, while the graphical user interface is able to display the time required to complete project well, cost of the project well and risk information as a function of the depth of the project well along it in the geological context of geological and geophysical modeling, calculated by the selected risk plug-in, using the selected risk assessment task from the set of risk assessment tasks and input data associated with the selected risk assessment task from the set of risk assessment tasks, while the geological context contains at least the obtained project well trajectory and the obtained properties geological environment. 45. The graphical user interface according to claim 44, wherein, when selecting a risk plug-in, a configuration dialog is displayed capable of receiving well drilling parameters. 46. The graphical user interface of claim 45, wherein the well drilling parameters comprise at least one selected from the group consisting of a path and geological environment model data. 47. The graphical user interface of claim 46, wherein the geological environment model data comprises at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient, and unlimited rock compressive strength. 48. The graphical user interface according to claim 44, wherein the set of risk management tasks is organized as a sequence of system operations, and the output of each of the set of risk management tasks is used as an input to the next risk management task. 49. The graphical user interface of claim 46, wherein the risk information is displayed on a graph along the path of the project well on a three-dimensional graphical display. 50. A system for conceptual planning of a well, comprising an input device capable of receiving a set of input data associated with drilling a well and including a set of calculation results of input data, a computing device capable of comparing each calculation result from a set of calculation results of input data with each logical expression from a set of logical expressions, ordering, by means of a logical expression, a calculation result, creating a set of persistent calculated risk values in accordance with them, each of the set of ordered risk values representing the result of calculating the input data ordered by logical expression as high risk, medium risk or low risk, a risk device that can create the time required to complete the project well, the cost of the project wells and risk information in accordance with a set of ordered risk values and combined with geological and geophysical modeling, and - 24 013660 a display device designed to display the completion time of the project well, the cost of the project well and risk information as a function of the depth of the project well along its path in the geological context of geological and geophysical modeling, while the geological context contains at least the received path and received properties of the geological environment. 51. The system of claim 50, wherein the risk information comprises at least one ordered risk category and at least one ordered risk subcategory. 52. The system of claim 51, wherein the ordered risk category comprises at least one selected from the group consisting of average individual risk, subcategory risk, average subcategory risk, total risk, average total risk, potential risk for each design task, and actual risk for each design task. 53. The system of claim 51, wherein the risk subcategory contains at least one selected from the group consisting of income loss risks, loss risks, pipe stuck risks, and mechanical risks. 54. The system of claim 50, wherein the input data associated with the drilling of the well comprises at least one selected from the group consisting of the trajectory of the design well and model data of the geological environment. 55. The system of claim 50, wherein the display of risk information comprises plotting risk information along a project well trajectory. 56. The system of claim 50, wherein the geological environment model data comprises at least one selected from the group consisting of pore pressure, hydraulic fracture pressure gradient, and unlimited rock compressive strength. 57. The system of claim 50, wherein the risk information is displayed in a geological context in three dimensions. 58. A computer storage medium that implements computer-readable program code that instructs the computer system to use a risk plug-in combined with geological and geophysical modeling, enter parameters related to well drilling into geological and geophysical modeling, perform a set of risk calculations using parameters to obtain risk information and display the time required to complete the project well, the cost of the project well and risk information as a function of depth the design well along its trajectory, the well, in the geological context of geological and geophysical modeling, while the geological context contains at least the obtained trajectory of the design well and the obtained properties of the geological environment.